Model for High-Throughput Screening of Multitarget Drugs in Chemical Neurosciences: Synthesis, Assay, and Theoretic Study of Rasagiline Carbamates

被引:58
作者
Alonso, Nerea [5 ]
Caamano, Olga [5 ]
Romero-Duran, Francisco J. [5 ]
Luan, Feng [1 ,2 ]
Cordeiro, M. Natalia D. S. [1 ]
Yanez, Matilde [3 ]
Gonzalez-Diaz, Humberto [1 ,4 ]
Garcia-Mera, Xerardo [5 ]
机构
[1] Univ Porto, REQUITME, Dept Chem & Biochem, P-4169007 Oporto, Portugal
[2] Yantai Univ, Dept Appl Chem, Yantai 264005, Peoples R China
[3] USC, Fac Pharm, Dept Pharmacol, Santiago De Compostela 15782, Spain
[4] Basque Fdn Sci, IKERBASQUE, Bilbao 48011, Spain
[5] Univ Santiago de Compostela, Fac Pharm, Dept Organ Chem, Santiago De Compostela 15782, Spain
来源
ACS CHEMICAL NEUROSCIENCE | 2013年 / 4卷 / 10期
关键词
Neurodegenerative diseases; drug-target networks; rasagiline derivatives; CHEMBL; multitarget QSAR; multiplexing assays; high-throughput screening; moving averages; spectral moments; Markov chains; IN-SILICO DISCOVERY; TOPS-MODE; ALLOSTERIC MODULATORS; TOMOCOMD-CARDD; QSAR MODELS; TOXICOLOGICAL PROFILES; MEDICINAL CHEMISTRY; MARCH-INSIDE; WEB SERVER; DESIGN;
D O I
10.1021/cn400111n
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The disappointing results obtained in recent clinical trials renew the interest in experimental/computational techniques for the discovery of neuroprotective drugs. In this context, multitarget or multiplexing QSAR models (mt-QSAR/mx-QSAR) may help to predict neurotoxicity/neuroprotective effects of drugs in multiple assays, on drug targets, and in model organisms. In this work, we study a data set downloaded from CHEMBL; each data point (>8000) contains the values of one out of 37 possible measures of activity, 493 assays, 169 molecular or cellular targets, and 11 different organisms (including human) for a given compound. In this work, we introduce the first mx-QSAR model for neurotoxicity/neuroprotective effects of drugs based on the MARCH-INSIDE (MI) method. First, we used MI to calculate the stochastic spectral moments (structural descriptors) of all compounds. Next, we found a model that classified correctly 2955 out of 3548 total cases in the training and validation series with Accuracy, Sensitivity, and Specificity values > 80%. The model also showed excellent results in Computational-Chemistry simulations of High-Throughput Screening (CCHTS) experiments, with accuracy = 90.6% for 4671 positive cases. Next, we reported the synthesis, characterization, and experimental assays of new rasagiline derivatives. We carried out three different experimental tests: assay (1) in the absence of neurotoxic agents, assay (2) in the presence of glutamate, and assay (3) in the presence of H2O2. Compounds 11 with 27.4%, 8 with 11.6%, and 9 with 15.4% showed the highest neuroprotective effects in assays (1), (2), and (3), respectively. After that, we used the mx-QSAR model to carry out a CCHTS of the new compounds in >400 unique pharmacological tests not carried out experimentally. Consequently, this model may become a promising auxiliary tool for the discovery of new drugs for the treatment of neurodegenerative diseases.
引用
收藏
页码:1393 / 1403
页数:11
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